An MRI-based radiomics model to predict clear cell renal cell carcinoma growth rate classes in patients with von Hippel-Lindau syndrome.

Purpose: Upfront knowledge of tumor growth rates of clear cell renal cell carcinoma in von Hippel-Lindau syndrome (VHL) patients can allow for a more personalized approach to either surveillance imaging frequency or surgical planning. In this study, we implement a machine learning algorithm utilizin...

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Publicado en:	Abdominal Radiology Vol. 47; no. 10; pp. 3554 - 3563
Autores principales:	Anari, Pouria Yazdian, Lay, Nathan, Gopal, Nikhil, Chaurasia, Aditi, Samimi, Safa, Harmon, Stephanie, Firouzabadi, Fatemeh Dehghani, Merino, Maria J., Wakim, Paul, Turkbey, Evrim, Jones, Elizabeth C., Ball, Mark W., Turkbey, Baris, Linehan, W. Marston, Malayeri, Ashkan A.
Formato:	Journal Article
Publicado:	Springer Nature Oct2022
Acceso en línea:	Ver este registro en EBSCOhost